Step by Step Tutorial IMAGE CLASSIFICATION Using Scikit Learn Keras and TensorFlow with PYTHON GUI is popular PDF and ePub book, written by Vivian Siahaan in 2021-06-03, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, Step by Step Tutorial IMAGE CLASSIFICATION Using Scikit Learn Keras and TensorFlow with PYTHON GUI can be Read Online from any device for your convenience.
Step by Step Tutorial IMAGE CLASSIFICATION Using Scikit Learn Keras and TensorFlow with PYTHON GUI Book PDF Summary
This book implements deep learning-based image classification on classifying monkey species, recognizing rock, paper, and scissor, and classify airplane, car, and ship using TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries. In Chapter 1, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform how to classify monkey species using 10 Monkey Species dataset provided by Kaggle (https://www.kaggle.com/slothkong/10-monkey-species/download). In Chapter 2, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform how to recognize rock, paper, and scissor using 10 Monkey Species dataset provided by Kaggle (https://www.kaggle.com/sanikamal/rock-paper-scissors-dataset/download). In Chapter 3, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy and other libraries to perform how to classify airplane, car, and ship using Multiclass-image-dataset-airplane-car-ship dataset provided by Kaggle (https://www.kaggle.com/abtabm/multiclassimagedatasetairplanecar).
Detail Book of Step by Step Tutorial IMAGE CLASSIFICATION Using Scikit Learn Keras and TensorFlow with PYTHON GUI PDF
- Author : Vivian Siahaan
- Release : 03 June 2021
- Publisher : Unknown
- ISBN : 9798514388905
- Genre : Uncategoriezed
- Total Page : 141 pages
- Language : English
- PDF File Size : 12,5 Mb
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